A workshop student asked me for places to go to see collections of great data viz (he said he goes to Reddit's dataisbeautiful 🫤). I asked my LinkedIn followers for their suggestions and this is a thread of their go-to viz inspo spots. I said go to Twitter and search on #dataviz or #datafam. Someone else in the workshop mentioned Tableau Public.

Over on LinkedIn...

I didn’t record my @OutlierConf unconference session on starting and growing a 6- or 7-figure #dataviz business, so here’s a thread of the main discussion points.
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https://twitter.com/evergreendata/status/1489278034968518660

@OutlierConf Should I niche?
Yes. It’s vastly easier to pitch, market, and resonate when you have one specific audience you’re speaking to. You can niche by content area (like education or public health), by tool (like Tableau or Power BI) or by style (like static utilitarian or data art).

Signs Your #DataViz Sucks

What makes a dataviz suck or sing isn't just about its outward appearance. That's only going to get you so far and it isn't even the most important part.

The most important part of data visualization is what happens to people after they've seen it. 👇 Like, if your audience asks about things you already addressed.

That’s a sign your data viz sucks.

8 things school doesn’t teach you about data visualization.

1. Design is always a compromise. Rarely does the real world gift you with the perfect datasets you work with in school.

1/8 🧵 2. The longer you’re in it, the less you know for sure. “It depends” is the one true answer 99% of the time.

🎉 I have invented a new chart type. #dataviz

Would you like to see it? 👇 Black Lives Matter.